AI Data Annotation
Annotation tumor boundaries and classifying cell types Labeling images as benign or malignant Ensuring high quality data for machine learning model training
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I worked on a high-priority project annotating medical images for cancer diagnosis, achieving an impressive 98% accuracy rate. I utilize tools like Labelbox and VGG image Annotator to label tumor boundries and classify cell types, ensuring high-quality data for our machine learning models. My attention to detailand understanding of medical terminology enable me to deliver precise annotations, contributing to the development of a robust cancer detection algorithm. This experience honed my skills in data annotation, quality control, and collaboration with cross-functional teams, making me a strong fit for a Generalist AI LAbeling role.
Annotation tumor boundaries and classifying cell types Labeling images as benign or malignant Ensuring high quality data for machine learning model training
Bachelor Degree in Business Administration, Business Administration
AI Data Annotator
Annotator